Search Results - Many-Task Computing

Research on Automatic Optimization Technology of Container Intra-parallelism for Many-Task Computing in the Cloud

Authors: Hyeock-Jin Lee Jik-Soo Kim

Source: KIISE Transactions on Computing Practices. 30:549-554

Many-to-Many Task Offloading in Vehicular Fog Computing: A Multi-Agent Deep Reinforcement Learning Approach

Authors: Zhiwei Wei Bing Li Rongqing Zhang et al.

Source: IEEE Transactions on Mobile Computing. 23:2107-2122

Subject Terms: Task offloading, Many-to-many, Vehicular fog computing, Multi-agent deep reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, POMDP

Contemplating a Lightweight Communication Interface for Asynchronous Many-Task Systems

Authors: Jiakun Yan Marc Snir

Source: Lecture Notes in Computer Science ISBN: 9783031971952

Subject Terms: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Access URL: http://arxiv.org/abs/2503.15400

Many-to-Many Task Offloading in Vehicular Fog Computing: A Multi-Agent Deep Reinforcement Learning Approach

Authors: Wei, Zhiwei Li, Bing Zhang, Rongqing et al.

Index Terms: Many-to-many, Multi-agent deep reinforcement learning, POMDP, Task offloading, Vehicular fog computing, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-137646
https://doi.org/10.1109/TMC.2023.3250495
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1536-1233&rft.volume=23&rft.issue=3&rft.date=2024&rft.spage=2107&rft.aulast=Wei&rft.aufirst=Zhiwei&rft.atitle=Many-to-Many+Task+Offloading+in+Vehicular+Fog+Computing%3A+A+Multi-Agent+Deep+Reinforcement+Learning+Approach&rft.title=IEEE+Transactions+on+Mobile+Computing
http://www.scopus.com/record/display.url?eid=2-s2.0-85149401987&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001167016100001

Dynamic and Adaptive Monitoring and Analysis for Many-task Ensemble Computing

Authors: Allen D. Malony Shantenu Jha

Source: 2021 IEEE International Conference on Cluster Computing (CLUSTER). :637-641

A Hybrid Scheduler for Many Task Computing in Big Data Systems

Authors: Vasiliu, Laura Pop, Florin Negru, Catalin et al.

Source: International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 2, Pp 385-399 (2017)
International Journal of Applied Mathematics and Computer Science

Subject Terms: scheduling heuristics, Electronic computers. Computer science, big data systems, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, qos, QA75.5-76.95, 02 engineering and technology, simulation, many task computing, Mathematics

Access URL: https://www.sciendo.com/pdf/10.1515/amcs-2017-0027
https://doaj.org/article/2133493f5bf747ba9e76fec8e94d529f
https://sciendo.com/article/10.1515/amcs-2017-0027
https://content.sciendo.com/view/journals/amcs/27/2/article-p385.xml
https://doi.org/10.1515/amcs-2017-0027
https://suw.biblos.pk.edu.pl/resourceDetailsBPP&rId=82856
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-c2a5ded3-9403-47fb-ae05-b8a46b14bd2e
https://core.ac.uk/display/88347930

Multi-core versus many-core computing for many-task Branch-and-Bound applied to big optimization problems

Authors: Jan Gmys Mohand-Said Mezmaz Nouredine Melab et al.

Contributors: Jan Gmys Mohand-Said Mezmaz Nouredine Melab et al.

Source: Future Generation Computer Systems. 82:472-481

Subject Terms: permutation Flow-Shop, Parallel Branch-and-Bound, Coprocessor/Many-core, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Muti-core, 7. Clean energy, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

File Description: application/pdf

Access URL: https://hal.inria.fr/hal-01419079/file/FGCS-D-16-0017R2-Revised-Manuscript-Melab-et-al-1.pdf
https://inria.hal.science/hal-01419079v1
https://inria.hal.science/hal-01419079v1/document
https://doi.org/10.1016/j.future.2016.12.039
http://www.sciencedirect.com/science/article/pii/S0167739X16308706
https://dblp.uni-trier.de/db/journals/fgcs/fgcs82.html#MelabGMT18
https://hal.inria.fr/hal-01419079
https://www.sciencedirect.com/science/article/pii/S0167739X16308706
https://hal.inria.fr/hal-01419079/document
https://hal.archives-ouvertes.fr/hal-01419079v1

A lightweight CaaS private cloud architecture and models for many task computing

Authors: Pengfei Liu Yiyi Xu Jun Zhao

Source: 2019 14th International Conference on Computer Science & Education (ICCSE). :92-96

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/iccse2/iccse2019.html#XuLZ19
https://eprints.ncl.ac.uk/260047

Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study

Authors: Zhang, Xian-Rong Gong, Yue-Jiao Zhang, Jun

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2503.08301

Dynamic Many-to-Many Task Offloading in Vehicular Fog Computing: A Multi-Agent DRL Approach

Authors: Wei, Zhiwen Li, Bing Zhang, Rongqing et al.

Index Terms: Many-to-many, Multi-agent deep reinforcement learning, POMDP, Task offloading, Vehicular fog computing, Conference paper

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-124483
https://doi.org/10.1109/GLOBECOM48099.2022.10001342
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2022&rft.spage=6301&rft.aulast=Wei&rft.aufirst=&rft.atitle=Dynamic+Many-to-Many+Task+Offloading+in+Vehicular+Fog+Computing%3A+A+Multi-Agent+DRL+Approach&rft.title=2022+IEEE+Global+Communications+Conference%2C+GLOBECOM+2022+-+Proceedings
http://www.scopus.com/record/display.url?eid=2-s2.0-85146948913&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000922633506059

Understanding the Communication Needs of Asynchronous Many-Task Systems -- A Case Study of HPX+LCI

Authors: Yan, Jiakun Kaiser, Hartmut Snir, Marc

Subject Terms: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Access URL: http://arxiv.org/abs/2503.12774

Dynamic Many-to-Many Task Offloading in Vehicular Fog Computing: A Multi-Agent DRL Approach

Authors: Zhiwei Wei Bing Li Rongqing Zhang et al.

Source: GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Study on the Application Execution Optimization of Many-Task Computing on Hadoop

Authors: Jik-Soo Kim Jin-young Choi Dae-Cheol Kang

Source: KIISE Transactions on Computing Practices. 25:585-593

Access URL: http://kiise.or.kr/e_journal/2019/12/KTCP/pdf/02.pdf

On the role of message broker middleware for many-task computing on a big-data platform

Authors: Cao Ngoc Nguyen Jaehwan Lee Soonwook Hwang et al.

Source: Cluster Computing. 22:2527-2540

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/cluster/cluster22.html#NguyenLHK19
https://link.springer.com/article/10.1007/s10586-018-2634-9

MANY-TASK COMPUTING ON MANY-CORE ARCHITECTURES

Authors: Valero-Lara, Pedro Nookala, Poornima Pelayo, Fernando L. et al.

Source: Scalable computing. 17(1):33-46

Subject Terms: Parallel Computing, Multi-Task Computing, Many-Core, GPU, Intel Xeon Phi, CUDA, OpenMP

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185655

Parameter Exploration in Science and Engineering Using Many-Task Computing

Authors: Abramson, David Bethwaite, Blair Enticott, Colin et al.

Source: IEEE Transactions on Parallel and Distributed Systems. 22:960-973

Subject Terms: Scientific workflows, 1708 Hardware and Architecture, Parameter exploration, 0202 electrical engineering, electronic engineering, information engineering, 1711 Signal Processing, Kepler, 02 engineering and technology, 14. Life underwater, Heterogeneity, 7. Clean energy, Many task computing, 1703 Computational Theory and Mathematics

Access URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.8436
https://ieeexplore.ieee.org/document/5611495
http://ieeexplore.ieee.org/document/5611495/
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005611495
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005611495
https://dblp.uni-trier.de/db/journals/tpds/tpds22.html#AbramsonBEGP11
https://www.computer.org/csdl/trans/td/2011/06/ttd2011060960.pdf

A fast and low idle time method for mining frequent patterns in distributed and many-task computing environments

Authors: Chun-Cheng Lin Sheng-Hao Chung Ju-Chin Chen et al.

Source: Distributed and Parallel Databases. 36:613-641

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://scholar.nycu.edu.tw/en/publications/a-fast-and-low-idle-time-method-for-mining-frequent-patterns-in-d
https://dblp.uni-trier.de/db/journals/dpd/dpd36.html#LinCCYL18
https://ir.nctu.edu.tw:443/handle/11536/148170
https://link.springer.com/article/10.1007/s10619-018-7221-9

Enabling Docker Containers for High-Performance and Many-Task Computing

Authors: Azab, Abdulrahman

Source: 2017 IEEE International Conference on Cloud Engineering (IC2E)

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/7923813/
http://dblp.uni-trier.de/db/conf/ic2e/ic2e2017.html#Azab17
https://www.computer.org/csdl/proceedings-article/ic2e/2017/07923813/12OmNz5apB0

A Case Study of Leveraging High-Throughput Distributed Message Queue System for Many-Task Computing on Hadoop

Authors: Jik-Soo Kim Jaehwan Lee Cao Nguyen et al.

Source: 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W). :257-262

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/8064132/
https://dblp.uni-trier.de/db/conf/saso/fasw2017.html#NguyenKLH17

Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model

Authors: Lajiao Chen Weijing Song Yan Ma et al.

Source: The Journal of Supercomputing. 75:510-532

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dl.acm.org/doi/10.1007/s11227-017-2047-1
https://doi.org/10.1007/s11227-017-2047-1
https://dblp.uni-trier.de/db/journals/tjs/tjs75.html#YueMCWS19
https://link.springer.com/article/10.1007/s11227-017-2047-1